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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Campbell, R.J. Flynn, P.J. |
| Copyright Year | 2002 |
| Description | Author affiliation: Sharp Labs. of America, Camas, WA, USA (Campbell, R.J.) |
| Abstract | Describes a system for recognizing free-form 3D objects in dense range data employing local features and object-centered geometric models. Local features are extracted from range images and object models using curvature analysis, and variability in feature size is accommodated by decomposition of features into sub-features. Shape indices and other attributes provide a basis for correspondence between compatible image and model features and subfeatures, as well as pruning of invalid correspondences. A verification step provides a final ranking of object identity and pose hypotheses. The evaluation system contained 10 free-form objects and was tested using 10 range images with two objects from the database in each image. Comments address strengths of the proposed technique as well as areas for future improvement. |
| Starting Page | 607 |
| Ending Page | 610 |
| File Size | 283229 |
| Page Count | 4 |
| File Format | |
| ISBN | 076951695X |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2002.1048012 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-08-11 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Surface fitting Image databases Object recognition Laboratories Image analysis System testing Spatial databases Merging Intelligent networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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